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Record W584124344 · doi:10.22004/ag.econ.314678

Macroeconomic Impact and Benefit/Cost Analysis of Transportation and Mining Developments in the Northwest Territories

2021· article· en· W584124344 on OpenAlex
Masood Ul Hassan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2021
Typearticle
Languageen
FieldEnergy
TopicCoal and Coke Industries Research
Canadian institutionsnot available
FundersU.S. Department of TransportationU.S. Department of Energy
KeywordsEconomic impact analysisCost–benefit analysisTransport economicsTransport engineeringBusinessRegional scienceEnvironmental planningNatural resource economicsEconomicsGeographyEngineeringCivil engineeringPolitical science

Abstract

fetched live from OpenAlex

This paper summarizes the results of two studies undertaken to quantify the macroeconomic impact and the benefits and costs associated with transportation and mineral development scenarios in the Northwest Territories.Each development scenario involves investment in a transportation corridor extending north from Yellowknife towards the Arctic Coast, and the staged development of various mineral deposits.The region north of Yellowknife, known as the Slave Geologic Province, is a storehouse for numerous gold, base metal and diamond reserves and is recognized as the premier new mineral region in Canada At the present time landbased transportation infrastructure consists of a privately constructed winter road extending from Yellowknife to the Lupin gold mine, approximately two-thirds of the distance to the Arctic Coast.In terms of the macroeconomic impact, the development scenarios analyzed would have a significant, positive impact on the economy.This impact would be significant not only in the Northwest Territories but also in southern Canada, since most of the goods and services consumed in the Northwest Territories are produced in other parts of Canada The analysis indicates that approximately one-third of the GDP impacts and three-quarters of the employment impacts would occur outside of the Northwest Territories, mainly in the provinces of Ontario, Alberta, Quebec and British Columbia.The benefit-cost analysis indicated a positive Net Present Value for each of the development scenarios.For the most optimistic scenario, the benefits exceeded the costs by $3 billion over the 20 year study period.The benefits are dominated by the value of the mineral output resulting from new mineral developments.Mining holds the best prospects for economic development in the North.Transportation infrastructure is essential for the development of mineral deposits.While a causal N eudorf/Hassan relationship between transportation infrastructure and mining activities was not assumed, the two studies reported here have demonstrated that providing transportation infrastructure for the development of mines produces significant macroeconomic impacts and that the benefits would exceed the costs.This information would be useful in discussions about funding transportation infrastructure projects in support of mineral developments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.259
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it